First order logic (Ch. 8) Announcements Test next Tuesday! Midterm - PowerPoint PPT Presentation

First order logic (Ch. 8)

Announcements Test next Tuesday! Midterm 2... covers hw 3&4: -Heuristics -Local search -Minimax/Alpha-Beta -Game theory -CSP (constraint satisfaction)

Review: Propositional logic Propositional logic builds sentences that relate various symbols with true or false Each symbol is simply a unique identifier, but you cannot “generalize” between them While this is fairly expressive, it is also quite cumbersome as each part of the environment might need many symbols associated with it

Review: Propositional logic For example: to express just the top left cell of this minesweep, we would need to have: Sadly in propositional logic we cannot relate these 9 symbols/literals together as “value of cell [1,1]” (and cannot specify this relationship in general for all cells)

FO logic: definitions Propositional logic has “propositions” that are either true or false First order logic (also called “predicate calculus”) has objects and the relation between them is what is important This can provide a more compact way of expressing the environment (also more complicated since we cannot build truth tables)

FO logic: definitions There are two basic things in first order logic: Also called constant symbols 1. Objects which are some sort of noun or “thing” in the environment (e.g. teacher, bat) 2. Relations among objects, which can be: 2.1. Unary (or properties) which relate to a single object (e.g. red, healthy, boring) 2.2. n-ary which involve more than one 2.3. Functions, one “value” for each input

FO logic: definitions Both unary and n-ary relations are similar, just how many variables are involved Unary and n-ary relations are predicates Unary and n-ary relations are true/false values (similar to propositional logic) Functions converts the inputted objects into a single output object (i.e. like coding functions that “return” a single object)

FO logic: definitions We can represent any sentence with objects and relations, for example: The set of all “I am sleepy today” objects that Object: I, (the “me” of today) we are using Relations: Sleepy, Today are called the Logic: Sleepy(Today(I)) domain “I howl at full moons” Objects: Me, Moon Relations: Full, Howl Logic: Full(Moon) => Howl(Me)

FO logic: definitions Let's identify objects and relations in this:

FO logic: definitions Objects: Person, Car, Road, Fish, Leash Relations: Unary: Wet(Fish), Wet(Road), Wet(Car) n-ary: OnTopOf(Person, Road), OnTopOf(Car, Road), OnTopOf(Fish, Road) Functions: attached(Person, Leash) = Fish

FO logic: definitions You find objects and relations (what type):

FO logic: definitions Objects: StickPerson, Fish, Pole, Hat, SP'sLeftLeg Relations examples.... unary: Black(StickPerson) n-ary: Hold(StickPerson, Fish), Hold(StickPerson, Pole) functions: OnHead(StickPerson), LeftLeg(StickPerson)

FO logic: definitions The “arguments” to relations might have an order relation For example: Hold(StickPerson, Fish) might imply “StickPerson holds Fish” This is not a symmetric relationship, so Hold(Fish, StickPerson) conveys a different meaning

FO logic: definitions Can represent relations as “tuples” (generalize “pair” for more than 2 elements) For example the “Hold” relation might be: {<StickPerson, Fish>, <StickPerson, Pole>} For functions, we normally provide the result: OnHead: <StickPerson> → Hat <Fish> → String

FO logic: definitions Side note: Functions have to be defined for all possible objects in our use of first-order logic So with the “OnHead” function in the last example, we would also need to define: OnHead( Pole) = Pole OnHead( Hat) = Hat OnHead( SP'sLeftLeg) = StickPerson (?)

Syntax Objects and relations form the basis of first order logic, but we also expand our syntax with three things: 1. Quantifiers (existential and universal) 2. Variables (much in the math sense) 3. Equality (as in “=” not “ ” or “ ”) Otherwise we have a similar syntax to propositional logic (implies, AND, OR, etc.)

Existential quantifier The existential quantifier is , which means “there exists ...” For example, if I had a variable “x”, then... ... means “Santa exists” or “Someone is Santa” if quantifier on far left without parenthesis, assume applies to whole sentence ... means “Someone in class is hungry” or “At least one person in class is hungry”

Existential quantifier The existential quantifier is , which means “there exists ...” For example, if I had a variable “x”, then... ... means “Santa exists” or “Someone is Santa” ... means “Someone in class is hungry” or “At least one person in class is hungry”

Variables A variable is a place-holder for any object So if we had 3 objects, {Sue, Alex, Devin}, we could formally write: As... ... or in English: “Someone is Santa”, “Santa is Sue, Alex or Devin”

Universal quantifier The universal quantifier is denoted by means “for all ...” Thus, ... means “Everyone is a Santa” If our objects were again {Sue, Alex, Devin}, then this would mean:

Quantifier As is basically ORs and is ANDs, we can apply De Morgan's laws: In words “No Santa exists” is the same as “Everyone is not Santa” (or “No one is Santa”) You can have multiple quantifiers as well: This means “Two people are snapchatting” (Note: this could also mean snapchatting self)

Quantifier The order of quantifiers also matters: means “For every person x, they have some mother y” or “All people have some mother” However in the opposite order: means “There is some person y, who is the mother to everyone” or “Everyone has the same mother”

Quantifier Write these two sentences in logic: 1. “Someone is happy yet sleepy” 2. “Everyone in class is thinking”

Quantifier Write these two sentences in logic: 1. “Someone is happy yet sleepy” 2. “Everyone in class is thinking” Normally this is the case: For “ ” you use For “ ” you use

Equality In logic, equality means two things are the same (much as it does in math) For example, would imply Sue and Alex are the same people This is often useful with variables: ... which means “No two (different) people have the same midterm score” (unique scores)

Assumptions Being completely expressive in first order logic can be difficult at times In the last statement you need the “ ” (which I will abbreviate often as: “ ”) to ensure that the variable does not reference the same person/object However, in general two objects could be the same thing...

Assumptions Try to formally express: “My only brothers are Bob and Jack”

Assumptions Try to formally express: “My only brothers are Bob and Jack” This is overly complicated as we have to specify that everyone else is not my brother and that Jack and Bob are different people

Assumptions For this reason, we make 3 assumptions: 1. Objects are unique (i.e. always) 2. All un-said sentences are false Thus, if I only say: then I imply: 3. Only objects I have specified exist (i.e. I assume a person does not exists as I never mentioned them)

Assumptions These assumptions make it easier to write sentences more compactly Under these assumptions, “My sisters are Alice and Grace” can be represented as: These assumptions do make it harder to say more general sentences, such as: “Two of my sisters are Alice and Grace”